Ingo Riederer
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in
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- Muscle Physiology and Disorders 13
- Signaling Pathways in Disease 3
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- T-cell and B-cell Immunology 3
- Co-authors
- Vincent Mouly (15 shared papers)Gillian Butler‐Browne (14 shared papers)Wilson Savino (19 shared papers)Elisa Négroni (8 shared papers)James P. Di Santo (5 shared papers)Zehava Uni (1 shared paper)Orna Halevy (1 shared paper)Suse Dayse Silva-Barbosa (7 shared papers)
- Journals
- Molecular Therapy (3 papers)Frontiers in Immunology (3 papers)Memórias do Instituto Oswaldo Cruz (2 papers)Skeletal Muscle (2 papers)PLoS neglected tropical diseases (2 papers)
- Partner nations
- BrazilFranceUnited Kingdom
In The Last Decade
Ingo Riederer
28 papers receiving 881 citations
Peers
Comparison fields: 5 of 90
- Genetics 148
- Rehabilitation 80
- Molecular Biology 531
- Cell Biology 121
- Immunology and Allergy 42
Countries citing papers authored by Ingo Riederer
This map shows the geographic impact of Ingo Riederer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ingo Riederer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Riederer more than expected).
Fields of papers citing papers by Ingo Riederer
This network shows the impact of papers produced by Ingo Riederer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ingo Riederer. The network helps show where Ingo Riederer may publish in the future.
Co-authors
The 25 scholars most cited alongside Ingo Riederer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 142 | |
| 2 | 2012 | 117 | |
| 3 | 2009 | 106 | |
| 4 | Myoblast transfer therapy: is there any light at the end of the tunnel? | 2005 | 61 |
| 5 | 2003 | 50 | |
| 6 | 2017 | 45 | |
| 7 | 2011 | 41 | |
| 8 | 2008 | 35 | |
| 9 | 1986 | 27 | |
| 10 | 2018 | 24 | |
| 11 | 2015 | 22 | |
| 12 | 2015 | 21 | |
| 13 | 1997 | 20 | |
| 14 | 2008 | 19 | |
| 15 | 2020 | 19 | |
| 16 | 2015 | 17 | |
| 17 | 2005 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2020 | 14 |
About Ingo Riederer
Ingo Riederer is a scholar working on Molecular Biology, Immunology, Surgery, Epidemiology and Genetics, having authored 29 papers that have together received 891 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Mesenchymal stem cell research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Mosquito-borne diseases and control (3 papers), Signaling Pathways in Disease (3 papers), Cell Adhesion Molecules Research (3 papers), CAR-T cell therapy research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Genetics (148 citations), Rehabilitation (80 citations), Molecular Biology (531 citations), Cell Biology (121 citations) and Immunology and Allergy (42 citations). Ingo Riederer has collaborated with scholars based in Brazil, France and United Kingdom. Frequent co-authors include Vincent Mouly, Gillian Butler‐Browne, Wilson Savino, Elisa Négroni, James P. Di Santo, Zehava Uni, Orna Halevy, Suse Dayse Silva-Barbosa, Soraya Chaouch and Ahmed Aamiri. Their work appears in journals such as Molecular Therapy, Frontiers in Immunology, Memórias do Instituto Oswaldo Cruz, Skeletal Muscle and PLoS neglected tropical diseases.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.